Nelson Hong Ching Yung

Computer Vision and Pattern Recognition · 2005–2011

A researcher in the Science corpus: 5 papers; trusts 266 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Nelson Hong Ching Yung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David G. Lowe
  2. Antonio Torralba
  3. Andrew Zisserman
  4. Anna Bosch
  5. Li Fei-Fei
  6. Aude Oliva
  7. Svetlana Lazebnik
  8. Geoffrey E. Hinton
  9. Pietro Perona
  10. Alex Krizhevsky

Who trusts Nelson Hong Ching Yung overall

  1. Jianzhao Qin
  2. Chunming Liu
  3. Laurene Claussmann
  4. Barnab'as P'oczos
  5. Victor Talpaert

Papers from Nelson Hong Ching Yung's perspective

Ordered by how strongly the researchers Nelson Hong Ching Yung trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers